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» The Complexity of Partition Functions
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JMLR
2008
230views more  JMLR 2008»
15 years 4 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
JIB
2006
220views more  JIB 2006»
15 years 4 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
NAR
2006
120views more  NAR 2006»
15 years 4 months ago
TreeDomViewer: a tool for the visualization of phylogeny and protein domain structure
Phylogenetic analysis and examination of protein domains allow accurate genome annotation and are invaluable to study proteins and protein complex evolution. However, two sequence...
Blaise T. F. Alako, Daphne Rainey, Harm Nijveen, J...
SMA
2008
ACM
157views Solid Modeling» more  SMA 2008»
15 years 4 months ago
Interactive physically-based shape editing
We present an alternative approach to standard geometric shape editing using physically-based simulation. With our technique, the user can deform complex objects in real-time. The...
Johannes Mezger, Bernhard Thomaszewski, Simon Pabs...
IJON
2007
184views more  IJON 2007»
15 years 4 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
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